Sentinel-2 Data for Land Use Mapping: Comparing Different Supervised Classifications in Semi-Arid Areas

Sentinel-2 Data for Land Use Mapping: Comparing Different Supervised Classifications in Semi-Arid Areas

Mapping and monitoring land use (LU) changes is one of the most effective ways to understand and manage land transformation. The main objectives of this study were to classify LU using supervised classification methods and to assess the effectiveness of various machine learning methods. The current...

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Bibliographic Details
Main Authors: Khouloud Abida, Meriem Barbouchi, Khaoula Boudabbous, Wael Toukabri, Karem Saad, Habib Bousnina, Thouraya Sahli Chahed
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Agriculture
Subjects:
sentinel-2
land use mapping
supervised classification
spectral index
machine learning
Online Access:https://www.mdpi.com/2077-0472/12/9/1429

Internet

https://www.mdpi.com/2077-0472/12/9/1429

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